StaffDataScientist-Viewerexperience

## Key responsibilities Lead the vision and strategy for recommendation algorithms across the JioStar platform, identifying opportunities to enhance personalization and content discovery Design and develop sophisticated recommendation models leveraging collaborative filtering, content-based techniques, deep learning, and hybrid approaches Translate complex business requirements into data science solutions, driving alignment across product, engineering, and business stakeholders Build evaluation frameworks and metrics that measure recommendation quality across dimensions including relevance, diversity, freshness, and business impact Lead A/B testing and experimental design to validate algorithmic improvements and quantify business impact Develop novel approaches to recommendation challenges including cold-start problems, exploration-exploitation tradeoffs, and multi-objective optimization Collaborate closely with ML Engineering to ensure algorithms can be efficiently implemented at scale Analyze user behavior patterns to identify segments and personalization opportunities Provide mentorship to junior data scientists and establish best practices for the data science organization Stay current with research in recommendation systems and personalization, bringing innovative approaches to our platform ## Skills and attributes for success Deep expertise in recommendation system algorithms, including collaborative filtering, content-based, neural networks, and multi-stage approaches Experience with candidate generation, ranking, and slate optimization for personalized user experiences Strong background in reinforcement learning, bandits, and long-term reward modeling for recommendation systems Experience with transformer architectures, LLMs, and their application to personalization Knowledge of RLHF reward modeling/alignment techniques for improved recommendation systems Hands-on experience with Python, SQL, and TensorFlow/PyTorch for implementing and evaluating algorithms